Chen Tessler  

 



  ![](/sites/default/files/person/avatar.png)

  

 I am a research scientist at the Tel-Aviv research lab (Israel). I am interested in challenges within the realm of decision making (RL, planning, control) that arise from real world challenges.

I received my B.Sc. and Ph.D. from the Technion Institute of Technology, where my research focused on the intricate connection between theory and practice in reinforcement learning.



   Research Area(s)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=7eLKa3IAAAAJ&hl=en&oi=ao](https://scholar.google.com/citations?user=7eLKa3IAAAAJ&hl=en&oi=ao)

 

  

 

 

 



 ### Publications

 

### 2024 

[MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting](/publication/2024-12_maskedmimic-unified-physics-based-character-control-through-masked-motion)

[Chen Tessler](/person/chen-tessler), Kelly Guo, Ofir Nabati, [Gal Chechik](/person/gal-chechik), Jason Peng



[SIGGRAPH Asia 2024](https://research.nvidia.com/labs/par/maskedmimic/)









[Learning to Move Like Professional Counter-Strike Players](/index.php/publication/2024-09_learning-move-professional-counter-strike-players)

David Durst, F. Xie, V. Sarukkai, Brennan Shacklett, [Iuri Frosio](/index.php/person/iuri-frosio), [Chen Tessler](/index.php/person/chen-tessler), [Joohwan Kim](/index.php/person/joohwan-kim), C. Taylor, G. Bernstein, S. Choudhury, P. Hanrahan,, Kayvon Fatahalian



[The 23rd ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA 2024)](https://computeranimation.org/program.html)









### 2023 

[CALM: Conditional Adversarial Latent Models for Directable Virtual Characters](/index.php/publication/2023-05_calm-conditional-adversarial-latent-models-directable-virtual-characters)

[Chen Tessler](/index.php/person/chen-tessler), [Yoni Kasten](/index.php/person/yoni-kasten), Yunrong Guo, [Shie Mannor](/index.php/person/shie-mannor), [Gal Chechik](/index.php/person/gal-chechik), Xue Bin Peng



[SIGGRAPH 2023](https://s2023.siggraph.org/)









[Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs](/publication/2023-01_implementing-reinforcement-learning-datacenter-congestion-control-nvidia-nics)

Benjamin Fuhrer, Yuval Shpigelman, [Chen Tessler](/person/chen-tessler), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), Eitan Zahavy, [Gal Dalal](/person/gal-dalal)



[CCGrid 2023](https://arxiv.org/abs/2207.02295)









[Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning](/publication/2023-01_never-worse-mostly-better-stable-policy-improvement-deep-reinforcement-learning)

Pranav Khanna, Guy Tennenholtz, Nadav Merlis, [Shie Mannor](/person/shie-mannor), [Chen Tessler](/person/chen-tessler)



[AAMAS 2023](https://arxiv.org/abs/1910.01062)









### 2022 

[Reinforcement Learning for Datacenter Congestion Control](/publication/2022-02_reinforcement-learning-datacenter-congestion-control)

[Chen Tessler](/person/chen-tessler), Yuval Shpigelman, [Gal Dalal](/person/gal-dalal), Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer, [Gal Chechik](/person/gal-chechik), [Shie Mannor](/person/shie-mannor)



IAAI 2022